{"id":"W3158225229","doi":"10.1016/j.ahj.2021.04.006","title":"Effects of the PCSK9 antibody alirocumab on coronary atherosclerosis in patients with acute myocardial infarction: a serial, multivessel, intravascular ultrasound, near-infrared spectroscopy and optical coherence tomography imaging study–Rationale and design of the PACMAN-AMI trial","year":2021,"lang":"en","type":"article","venue":"American Heart Journal","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Schweizerische Herzstiftung; Daiichi-Sankyo; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; InfraRedx; Inselspital, Universitätsspital Bern; Novartis; Regeneron Pharmaceuticals; Sanofi; Meso Scale Diagnostics","keywords":"Medicine; Alirocumab; Optical coherence tomography; Intravascular ultrasound; PCSK9; Myocardial infarction; Cardiology; Internal medicine; Ultrasound; Radiology; Cholesterol; Total cholesterol; Lipoprotein","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002173889,0.00177703,0.002216097,0.0002814136,0.0004824886,0.001428638,0.0007184582,0.001594053,0.001360244],"category_scores_gemma":[0.002286266,0.0005848759,0.001889415,0.0003380576,0.0009396443,0.0009903125,0.0004584189,0.003045817,0.0004234738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004150132,"about_ca_system_score_gemma":0.0005404413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003499006,"about_ca_topic_score_gemma":0.0008259683,"domain_scores_codex":[0.9990525,0.0004971602,0.00007039233,0.0001706324,0.00008557636,0.0001237603],"domain_scores_gemma":[0.9993155,0.0002183417,0.0001563451,0.00009741648,0.00004931632,0.0001631066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.9031996,0.007261368,0.01888771,0.001182552,0.007949171,0.0002227545,0.0001293931,0.001313406,0.006945504,0.0007561488,0.001572991,0.0505794],"study_design_scores_gemma":[0.7440661,0.137949,0.09452359,0.0002098557,0.01182486,0.0003959161,0.0001221871,0.002687622,0.002667172,0.001467297,0.003965885,0.0001203904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.9884389,0.006444216,0.0003735594,0.0008623232,0.0003182769,0.0006320007,0.0003443968,0.00002824534,0.002558163],"genre_scores_gemma":[0.9929188,0.002216836,0.0008944022,0.0009525834,0.0007766978,0.000679429,0.0006466929,0.00001081778,0.0009037497],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.002216097,"threshold_uncertainty_score":0.01149672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008381734149842276,"score_gpt":0.2673979403539761,"score_spread":0.2590162062041338,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}